Solid Biosciences (SLDB) Cash & Equivalents (2017 - 2026)
Solid Biosciences' Cash & Equivalents was $159.39 million in Q2 2026, up 14.7% from $138.93 million a year earlier but down 46.3% from the prior quarter.
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Analysis
Solid Biosciences (SLDB) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Solid Biosciences came in at $59.9 million, down 25.3% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -17.3% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $80.24 million in FY2024 (+8.4%), $74.02 million in FY2023 (-52.4%), $155.38 million in FY2022 (+30.4%) and $119.14 million in FY2021 (-23.2%).
- Quarterly Cash & Equivalents has moved between $48.79 million (Q3 2022) and $297.1 million (Q1 2026) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in six of the last eight quarters, with growth averaging 23.7%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2021 (growth of 342.3%); the worst was Q2 2022 (a decline of 72.9%).
- Per Business Quant data, SLDB's Cash & Equivalents in the three quarters before Q2 2026 was $297.1 million (Q1 2026), $59.9 million (Q4 2025) and $61.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Solid Biosciences | 984.27 Mn | 984.27 Mn | - | 159.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.39 Mn |
| Mar 31, 2026 | 297.10 Mn |
| Dec 31, 2025 | 59.90 Mn |
| Sep 30, 2025 | 61.36 Mn |
| Jun 30, 2025 | 138.93 Mn |
| Mar 31, 2025 | 210.63 Mn |
| Dec 31, 2024 | 80.24 Mn |
| Sep 30, 2024 | 64.39 Mn |
| Jun 30, 2024 | 95.85 Mn |
| Mar 31, 2024 | 117.57 Mn |
| Dec 31, 2023 | 74.02 Mn |
| Sep 30, 2023 | 49.04 Mn |
| Jun 30, 2023 | 91.57 Mn |
| Mar 31, 2023 | 164.65 Mn |
| Dec 31, 2022 | 155.38 Mn |
| Sep 30, 2022 | 48.79 Mn |
| Jun 30, 2022 | 54.31 Mn |
| Mar 31, 2022 | 129.71 Mn |
| Dec 31, 2021 | 119.14 Mn |
| Sep 30, 2021 | 109.68 Mn |
API Access
Solid Biosciences Cash & Equivalents API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=SLDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "SLDB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=SLDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();